Statistical parametric mapping, 1997. ,
Validating cluster size inference: random field and permutation methods, NeuroImage, vol.20, issue.4, pp.2343-2356, 2003. ,
DOI : 10.1016/j.neuroimage.2003.08.003
Mapping multiple visual areas in the human brain with a short fMRI sequence, NeuroImage, vol.29, issue.1, pp.74-89, 2006. ,
DOI : 10.1016/j.neuroimage.2005.07.033
Cortical Surface-Based Analysis, NeuroImage, vol.9, issue.2, pp.195-207, 1999. ,
DOI : 10.1006/nimg.1998.0396
Simplified intersubject averaging on the cortical surface using SUMA, Human Brain Mapping, vol.12, issue.1, pp.14-27, 2006. ,
DOI : 10.1002/hbm.20158
Volumetric vs. surface-based alignment for localization of auditory cortex activation, NeuroImage, vol.26, issue.4, pp.1019-1029, 2005. ,
DOI : 10.1016/j.neuroimage.2005.03.024
Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia, NeuroImage, vol.41, issue.3, pp.835-848, 2008. ,
DOI : 10.1016/j.neuroimage.2008.02.052
Combined permutation test and mixed-effect model for group average analysis in fMRI, Human Brain Mapping, vol.15, issue.5, pp.402-410, 2006. ,
DOI : 10.1002/hbm.20251
Fast reproducible identification and large-scale databasing of individual functional cognitive networks, BMC Neuroscience, vol.8, issue.1, p.91, 2007. ,
DOI : 10.1186/1471-2202-8-91
URL : https://hal.archives-ouvertes.fr/hal-00784462
Projection of fMRI data onto the cortical surface using anatomically-informed convolution kernels, NeuroImage, vol.39, issue.1, pp.127-135, 2008. ,
DOI : 10.1016/j.neuroimage.2007.08.039
Increased sensitivity in fmri group analysis using mixedeffect modeling. ISBI, pp.548-551, 2008. ,
DOI : 10.1109/isbi.2008.4541054
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses, NeuroImage, vol.35, issue.1, pp.105-120, 2007. ,
DOI : 10.1016/j.neuroimage.2006.11.054
URL : https://hal.archives-ouvertes.fr/cea-00371089
Triangulating cortical functional networks with anatomical landmarks, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.612-615, 2008. ,
DOI : 10.1109/ISBI.2008.4541070